Which of the following statements accurately distinguishes between bias and sampling error in statistical analysis?

A. Bias is a random error, while sampling error is a systematic error.
B. Bias is a deviation from the true population value due to variability in the sample, while sampling error is a systematic error introduced during data collection.
C. Bias is introduced randomly during sample selection, while sampling error is a systematic deviation from the true population value.
D. Bias is a systematic error, while sampling error is a random error resulting from the inherent variability in the sampling process.